Clustering is one of the first tools to explore big data.Classical techniques,such as hierarchical clustering and k-means,are usually based on the closeness between two data points or between a data p
This paper reviews the method of tail functions(TFs)for confidence estimation,starting with a seminal paper in the Canadian Journal of Statistics in 2006,and provides additional examples.
This work is motivated by the recent Korean MERS outbreak.We propose an easy adaptive estimation procedure for the case fatality rate(CFR)-the proportion of deaths among the cases during the course of
To include China in the global drug development and to have earlier regulatory approval of innovative drugs to benefit Chinese patients has become increasingly important.
The problem of estimating probabilities of network edges from the observed adjacency matrix has important applications to predicting missing links and network denoising.